Detailed Information

Cited 0 time in webofscience Cited 1 time in scopus
Metadata Downloads

Sentiment Analysis of Korean Teenagers’ Language Based on Sentiment Dictionary Construction

Full metadata record
DC Field Value Language
dc.contributor.authorKim, J.-
dc.contributor.authorKim, M.K.-
dc.contributor.authorPark, Y.-
dc.contributor.authorKim, E.-
dc.contributor.authorLee, J.-
dc.contributor.authorKim, D.-
dc.contributor.authorKim, S.-
dc.date.accessioned2023-04-28T05:41:58Z-
dc.date.available2023-04-28T05:41:58Z-
dc.date.issued2019-
dc.identifier.issn1876-1100-
dc.identifier.issn1876-1119-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/8550-
dc.description.abstractThis paper is to introduce Korean teenagers’ sentiment analysis through composing the Korean sentiment dictionary for teenagers’ language which is using KoNLPy and an algorithm for text sentiment analysis based on N-Gram concept which is used to calculate sentiment score from sentences. We gathered the text data (sentences) by web crawling several Korean web sites and using the Korean sentiment dictionary and algorithm described above, we conducted an experiment to analyze sentiment of the public. © 2019, Springer Nature Singapore Pte Ltd.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleSentiment Analysis of Korean Teenagers’ Language Based on Sentiment Dictionary Construction-
dc.typeArticle-
dc.publisher.location독일-
dc.identifier.doi10.1007/978-981-13-3648-5_63-
dc.identifier.scopusid2-s2.0-85066011159-
dc.identifier.bibliographicCitationLecture Notes in Electrical Engineering, v.542, pp 541 - 550-
dc.citation.titleLecture Notes in Electrical Engineering-
dc.citation.volume542-
dc.citation.startPage541-
dc.citation.endPage550-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorInformal language-
dc.subject.keywordAuthorKoNLPy-
dc.subject.keywordAuthorKorean sentiment dictionary-
dc.subject.keywordAuthorTeenager-
dc.subject.keywordAuthorText sentiment analysis-
dc.subject.keywordAuthorWeb crawling-
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Dong Ho photo

Kim, Dong Ho
Software Education Institute
Read more

Altmetrics

Total Views & Downloads

BROWSE